Recent years have witnessed fast developments of graph neural networks (GNNs) that have
benefited myriads of graph analytic tasks and applications. In general, most GNNs depend …

With the rapid development of information technologies, various big graphs are prevalent in
many real applications (eg, social media and knowledge bases). An important component of …

Detecting and analyzing dense groups or communities from social and information networks
has attracted immense attention over the last decade due to its enormous applicability in …

In the current era of automation, machines are constantly being channelized to provide
accurate interpretations of what people express on social media. The human race nowadays …

The proposed survey discusses the topic of community detection in the context of Social
Media. Community detection constitutes a significant tool for the analysis of complex …

Online social networks are now a popular way for users to connect, express themselves, and
share content. Users in today's online social networks often post a profile, consisting of …

Recently, there has been much excitement in the research community over using social
networks to mitigate multiple identity, or Sybil, attacks. A number of schemes have been …

Given a large network, local community detection aims at finding the community that
contains a set of query nodes and also maximizes (minimizes) a goodness metric. This …

In many applications we have a social network of people and would like to identify the
members of an interesting but unlabeled group or community. We start with a small number …

Recently, online social networking sites have exploded in popularity. Numerous sites are
dedicated to finding and maintaining contacts and to locating and sharing different types of …